Applied Univariate, Bivariate, And Multivariate Statistics Using Python: A Beginner’S Guide To Advanced Data Analysis

This book covers a wide range of statistical methods all in one concise, easy-to-use book. This book provides the user of statistical methods with a relatively easy way to get into computing using Python and run a variety of statistical procedures without having to delve into too much theory. Formulas are given where needed in many places, but the focus of the book is on concepts rather than mathematical abstraction. The author emphasizes computational tools used in the discovery of empirical patterns and features a variety of popular statistical analyses and data management tasks that can immediately be applied as needed. Most of the data sets analyzed are very small and convenient, so entering them into Python should be easy. If desired, however, one can also download them from www.datapsyc.com. Many of the data sets are also used in the author's prior Wiley books. The book assumes only minimal prior knowledge of statistics, providing readers with the tools they need right now to help them understand and interpret their data analyses.